10 January 2017 | Marcus R. Munafò, Brian A. Nosek, Dorothy V. M. Bishop, Katherine S. Button, Christopher D. Chambers, Nathalie Percie du Sert, Uri Simonsohn, Eric-Jan Wagenmakers, Jennifer J. Ware and John P. A. Ioannidis
A manifesto for reproducible science advocates for measures to enhance the reliability and efficiency of scientific research. The authors argue that current practices often lead to a high probability of false findings due to factors like small sample sizes, data dredging, and confirmation bias. They propose a set of measures targeting key areas: methods, reporting and dissemination, reproducibility, evaluation, and incentives. These measures aim to improve transparency, reproducibility, and efficiency of scientific research. The manifesto emphasizes the need for pre-registration of study designs, open data sharing, and independent oversight to reduce biases. It also calls for changes in incentives to encourage rigorous, transparent, and reproducible research. The authors stress the importance of continuous evaluation and improvement of research practices. They highlight the role of open science, including preprint services and open access, in accelerating the dissemination of research. The manifesto also discusses the need for diverse peer review processes and the adoption of reporting guidelines to improve the quality of research. Ultimately, the authors argue that shifting incentives and cultural norms is essential to ensure the credibility and reproducibility of scientific findings.A manifesto for reproducible science advocates for measures to enhance the reliability and efficiency of scientific research. The authors argue that current practices often lead to a high probability of false findings due to factors like small sample sizes, data dredging, and confirmation bias. They propose a set of measures targeting key areas: methods, reporting and dissemination, reproducibility, evaluation, and incentives. These measures aim to improve transparency, reproducibility, and efficiency of scientific research. The manifesto emphasizes the need for pre-registration of study designs, open data sharing, and independent oversight to reduce biases. It also calls for changes in incentives to encourage rigorous, transparent, and reproducible research. The authors stress the importance of continuous evaluation and improvement of research practices. They highlight the role of open science, including preprint services and open access, in accelerating the dissemination of research. The manifesto also discusses the need for diverse peer review processes and the adoption of reporting guidelines to improve the quality of research. Ultimately, the authors argue that shifting incentives and cultural norms is essential to ensure the credibility and reproducibility of scientific findings.